Boris Guennewig

University of Sydney — Australia

Biochemistry, Genetics and Molecular Biology · Life Sciences

20h-index1.2kcitations47works7.72yr avg
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Research Topics

RNA Research and Splicing(8), MicroRNA in disease regulation(6), Neuroinflammation and Neurodegeneration Mechanisms(6), Alzheimer's disease research and treatments(5), RNA modifications and cancer(5)

Publications47 total

ReTimeML: a retention time predictor that supports the LC–MS/MS analysis of sphingolipids
Scientific Reports·2024· 3 citedOpen Access
Detecting and Validating MAPT Mutations in Neurodegeneration Patients and Analysis of Exon Splicing Consequences
Methods in molecular biology·2024
Future-proofing genomic data and consent management: a comprehensive review of technology innovations
GigaScience·2024· 20 citedOpen Access
ReTimeML: A retention time predictor that supports the LC-MS/MS analysis of sphingolipids.
Research Square (Research Square)·2023Open Access
Author Correction: Defining early changes in Alzheimer’s disease from RNA sequencing of brain regions differentially affected by pathology
Scientific Reports·2023· 1 citedOpen Access
A transcriptome association study of AD risk genes in the pathogenesis of Alzheimer’s disease
Alzheimer s & Dementia·2023Open Access
Machine learning analysis of the UK Biobank reveals prognostic and diagnostic immune biomarkers for polyneuropathy and neuropathic pain in diabetes
Diabetes Research and Clinical Practice·2023· 19 cited
Machine learning analysis of the UK Biobank reveals IGF-1 and inflammatory biomarkers predict Parkinson’s disease risk
PLoS ONE·2023· 10 citedOpen Access
Ranking the risk factors for Alzheimer’s disease; findings from the UK Biobank study
Aging Brain·2023· 13 citedOpen Access
Ranking the Risk Factors for Alzheimer's Disease; Findings from the UK Biobank Study
SSRN Electronic Journal·2023Open Access
Polygenic risk of paclitaxel-induced peripheral neuropathy: a genome-wide association study
Journal of Translational Medicine·2022· 9 citedOpen Access
Robust subtractive stability measures for fast and exhaustive feature importance ranking and selection in generalised linear models
Australian & New Zealand Journal of Statistics·2022· 2 cited
Machine Learning Analysis of the UK Biobank Reveals IGF-1 and Inflammatory Biomarkers Predict Parkinson’s Disease Risk 
Research Square (Research Square)·2022Open Access
Vascular Dysfunction Is Central to Alzheimer’s Disease Pathogenesis in APOE e4 Carriers
International Journal of Molecular Sciences·2022· 18 citedOpen Access
Overlap between Central and Peripheral Transcriptomes in Parkinson’s Disease but Not Alzheimer’s Disease
International Journal of Molecular Sciences·2022· 14 citedOpen Access
The Key Factors Predicting Dementia in Individuals With Alzheimer’s Disease-Type Pathology
Frontiers in Aging Neuroscience·2022· 20 citedOpen Access
The cytokines interleukin-6 and interferon-α induce distinct microglia phenotypes
Journal of Neuroinflammation·2022· 73 citedOpen Access
Machine Learning Modelling for Prospective Parkinson’s Disease - the importance of inflammatory biomarkers and IGF1 - UKB study
Research Square (Research Square)·2022Open Access
Additional file 3 of The cytokines interleukin-6 and interferon-α induce distinct microglia phenotypes
Figshare·2022Open Access
Ranking the Risk Factors for Alzheimer's Disease; Findings from the UK Biobank Study
SSRN Electronic Journal·2022· 1 citedOpen Access
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Frequent Co-authors

Andrew N. McCorkindale(15), Greg T. Sutherland(15), Michael Allwright(9), Paul J. Austin(8), Hamish Mundell(8), Antony A. Cooper(7), Jonathan Hall(5), Guy Barry(5), Dominik C. Kaczorowski(5), Phillip K. West(5), Ellis Patrick(5), Glenda M. Halliday(5), Thomas M. Ashhurst(4), Barney Viengkhou(4), Emina Hayashida(4), So Ri Jung(4), Oleg Butovsky(4), Iain L. Campbell(4), Markus J. Hofer(4), Jillian J. Kril(4)